ASRock Z790 Taichi
Geekbench AI Score
32793
Single Precision Score
47412
Half Precision Score
24566
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 03:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 Taichi |
| Motherboard | ASRock Z790 Taichi |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12970
2.41 KIPS |
|
|
Image Classification (HP)
|
99% |
18346
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
11341
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23100
374.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26364
427.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18258
296.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
198900
232.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
475378
554.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
177604
208.1 IPS |
|
|
Object Detection (SP)
|
100% |
15675
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
23034
1.83 KIPS |
|
|
Object Detection (Q)
|
85% |
13258
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
44927
533.8 IPS |
|
|
Face Detection (HP)
|
100% |
58720
697.7 IPS |
|
|
Face Detection (Q)
|
97% |
39144
466.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
81674
629.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
131161
1.01 KIPS |
|
|
Depth Estimation (Q)
|
77% |
62447
499.3 IPS |
|
|
Style Transfer (SP)
|
100% |
357918
460.1 IPS |
|
|
Style Transfer (HP)
|
100% |
793839
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
314761
405.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52397
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64573
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37217
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3815
5.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4710
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2200
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5866
101.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5829
100.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2607
48.9 IPS |
